<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotation for each graph representation using BGLL, at different threshold values (<i>ω</i>).</p
<p>Sensitivity, specificity and F1 score values obtained from Model G by binning(-b) and NN(-n) esti...
<p>Different sensitivities and specificities of the prediction system by adjusting threshold values....
<p>Results for the functional annotation for each graph representation using Infomap, showing the RO...
<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotati...
<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotati...
<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotati...
<p>Results for the functional annotation for each graph representation using BGLL, showing the ROC c...
<p>Results for the functional annotation for each graph representation using timeBGLL, showing the R...
<p>Values for the AUC for the functional annotation with each clustering algorithm and graph represe...
<p>Results for the functional annotation for each graph representation using FC, showing the ROC cur...
<p>These graphs show the relationships between sensitivity (above) and specificity (below) and thres...
<p>The benchmarking of the sensitivity of FR-t5 and FR-t3 on Lindahl dataset.</p
<p>The threshold values of Moran’s index, Geary’s coefficient and the revised results.</p
<p>Data are thresholded at p < 0.05, FDR-corrected at the cluster level.</p><p>Results of the functi...
<p>Structural-AKI thresholds for severity stages based on equivalent sensitivity (62%) to Functional...
<p>Sensitivity, specificity and F1 score values obtained from Model G by binning(-b) and NN(-n) esti...
<p>Different sensitivities and specificities of the prediction system by adjusting threshold values....
<p>Results for the functional annotation for each graph representation using Infomap, showing the RO...
<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotati...
<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotati...
<p>Values for the sensitivity (sens.) and the false positive rate (fpr), for the functional annotati...
<p>Results for the functional annotation for each graph representation using BGLL, showing the ROC c...
<p>Results for the functional annotation for each graph representation using timeBGLL, showing the R...
<p>Values for the AUC for the functional annotation with each clustering algorithm and graph represe...
<p>Results for the functional annotation for each graph representation using FC, showing the ROC cur...
<p>These graphs show the relationships between sensitivity (above) and specificity (below) and thres...
<p>The benchmarking of the sensitivity of FR-t5 and FR-t3 on Lindahl dataset.</p
<p>The threshold values of Moran’s index, Geary’s coefficient and the revised results.</p
<p>Data are thresholded at p < 0.05, FDR-corrected at the cluster level.</p><p>Results of the functi...
<p>Structural-AKI thresholds for severity stages based on equivalent sensitivity (62%) to Functional...
<p>Sensitivity, specificity and F1 score values obtained from Model G by binning(-b) and NN(-n) esti...
<p>Different sensitivities and specificities of the prediction system by adjusting threshold values....
<p>Results for the functional annotation for each graph representation using Infomap, showing the RO...
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